Biological Algorithms Group

Our mission is to identify simple paradigms of robust motility control and pattern formation in complex biological systems. We reverse-engineer biological solutions of robust control in close collaboration with experimental biologists. We use tools from physics, information theory, and engineering; likewise, we seek to excite bio-inspired applications of biological information processing in these fields.

We focus on principles of biological information processing in two model systems:

  1. Motility control: We study how noisy sensory information controls biological motility and dynamic decision making, e.g. during sperm navigation to the egg.
  2. Pattern control: We study elementary rules of self-organized pattern formation during self-repair and adaptation, e.g. of load-balancing transport networks in the liver.

On top of that, we explore potential applications of biological control designs in advanced electronics applications in tight collaboration with the other paths of the cfaed.

We are currently searching for highly motivated and talented students to work at the interface of physics and biology with a twist towards computer science.

Group News

Published on in BIOLOGICAL ALGORITHMS (NEWS)

We welcome Dr. Rahul Ouseph Parambil Ramakrishnan to the group. Rahul will work on understandable reservoir computing together with the group of Marc Timme.

Chemokinetic Scattering, Trapping, and Avoidance of Active Brownian Particles

Published on in BIOLOGICAL ALGORITHMS (NEWS)

New Physical Review Letters on chemokinesis, providing a full theory of spatially inhomogeneous search, relevant for chemotaxis with noise: if you know a hidden target is close, but have no information on direction, how to search best?

https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.124.118101

Published on in BIOLOGICAL ALGORITHMS (NEWS)

Biological cells sense chemical gradients: molecular counting noise, but also the cell's own stochastic motion, limit the precision. New preprint on the 'physical limits of chemosensation' if cells suffer both sensing and motility noise https://arxiv.org/pdf/2002.08138.pdf

 

Published on in BIOLOGICAL ALGORITHMS (NEWS)

Steffen Lange leaves the team and is now research group leader of an ESF junior research group project. The project is called 'DataMedAssist' and examines innovative Data-Science methods for the Systems medicine, in particular assistance in the analysis of multicellular tissue organisation. Four PhD students are part of Steffens group belonging to Prof. Voss-Boehme at HTW Dresden.

We wish Steffen Lange good luck and a successful project!

"Fertilization in the sea: sperm chemotaxis in physiological shear flows" and "Resilience of three-dimensional sinusoidal networks in liver tissue"

Published on in BIOLOGICAL ALGORITHMS (NEWS)

Post-doc on Information theory of navigation in complex, time-varying environments

Published on in BIOLOGICAL ALGORITHMS (NEWS)

Francine and Ian will work on self-assembly of active force-generating myofibrils in muscle cells, a striking example of a "biological crystal" (funding by HFSP)

Published on in BIOLOGICAL ALGORITHMS (NEWS)

Elena joined to work as research assistant on modeling information processing in artificial cells, Maja will do her Bachelor thesis on synchronization of coupled noisy oscillators: welcome!

Published on in BIOLOGICAL ALGORITHMS (NEWS)

Iaroslav started as predoc to unravel the rules that guide the self-assembly of functional biomineral patterns of diatom silica shells

Published on in BIOLOGICAL ALGORITHMS (NEWS)

Farewell to our summer intern Lidiia Nadporozhskaia (who did an impressing analysis of spermbot motility)

Published on in BIOLOGICAL ALGORITHMS (NEWS)